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Jean-Marc Pierson
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Documents
Identifiants chercheurs
- jean-marc-pierson
- 0000-0001-8948-0474
- Google Scholar : https://scholar.google.fr/citations?user=UnCXn_QAAAAJ&hl=fr
- IdRef : 080240518
Présentation
Jean-Marc Pierson serves as a Full Professor in Computer Science at the University of Toulouse (France) since 2006. He received his PhD from the ENS-Lyon, France in1996. He was an Associate Professor at the University Littoral Cote-d'Opale (1997-2001) in Calais, then at INSA-Lyon (2001-2006).
He is a member of the IRIT Laboratory and member of the SEPIA Team on distributed systems. His main interests are related to large-scale distributed systems. He serves on several PCs and editorial boards in the Cloud, Grid, Pervasive, and Energy-aware computing area.
Since the last years, his researches focus on energy aware distributed systems, in particular monitoring, job placement and scheduling, virtual machines techniques, green networking, autonomic computing, mathematical modeling.
He was chairing the EU funded COST IC804 Action on “Energy Efficiency in Large Scale Distributed Systems” and participates in several national and european projects on energy efficiency in large scale distributed systems. He is currently chairing the ANR DATAZERO 2 Project.
Publications
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Energy Aware Dynamic Provisioning for Heterogeneous Data Centers28th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD 2016), Oct 2016, Los Angeles, United States. ⟨10.1109/SBAC-PAD.2016.34⟩
Communication dans un congrès
hal-01355452v1
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Dynamically Building Energy Proportional Data Centers with Heterogeneous Computing ResourcesInternational Conference on Cluster Computing (CLUSTER 2016), IEEE, Sep 2016, Taipei, Taiwan. pp.1-4, ⟨10.1109/CLUSTER.2016.34⟩
Communication dans un congrès
hal-01346600v1
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Généralisation du concept "big.LITTLE" pour aller vers des infrastructures cloud énergétiquement proportionnellesConférence d’informatique en Parallélisme, Architecture et Système (Compas 2015), ., Jun 2015, Lille, France
Communication dans un congrès
hal-01199917v1
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Towards Generalizing "Big Little" for Energy Proportional HPC and Cloud Infrastructures4th IEEE International Conference on Big Data and Cloud Computing (BdCloud 2014), Dec 2014, Sydney, Australia. pp.1-8, ⟨10.1109/BDCloud.2014.99⟩
Communication dans un congrès
hal-01075819v1
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